Optimal Design of Failure-Censored Constant-Stress Life Test Plans for the Inverse Weibull Distribution

This paper presents the optimal design of constant-stress partially accelerated life tests (CSPALT) using type-II censored data from the inverse Weibull distribution. The maximum likelihood approach is applied to estimate the distribution parameters and the corresponding factor. In addition, the cor...

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Збережено в:
Бібліографічні деталі
Дата:2019
Автори: Ismaila, Ali A., Tamimi, A. Al
Формат: Стаття
Мова:English
Опубліковано: Інститут проблем міцності ім. Г.С. Писаренко НАН України 2019
Назва видання:Проблемы прочности
Теми:
Онлайн доступ:http://dspace.nbuv.gov.ua/handle/123456789/188315
Теги: Додати тег
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати:Optimal Design of Failure-Censored Constant-Stress Life Test Plans for the Inverse Weibull Distribution / Ali A. Ismaila, A. Al Tamimi // Проблеми міцності. — 2019. — № 1. — С. 175-186. — Бібліогр.: 14 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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Резюме:This paper presents the optimal design of constant-stress partially accelerated life tests (CSPALT) using type-II censored data from the inverse Weibull distribution. The maximum likelihood approach is applied to estimate the distribution parameters and the corresponding factor. In addition, the corresponding confidence interval estimates are obtained. Moreover, optimal CSPALT plans are developed using the D-optimality criterion. That is, the proportion of test units that should be allocated to run under accelerated condition is optimally determined. This proportion is obtained such that the generalized asymptotic variance of the maximum likelihood estimators of the model parameters is minimized. To illustrate the theoretical results presented in this paper, simulation studies are conducted.